Sprache: Englisch
Verlag: Cambridge University Press, 2008
ISBN 10: 0521899044 ISBN 13: 9780521899048
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 119,01
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2008
ISBN 10: 0521899044 ISBN 13: 9780521899048
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 169,53
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. An update of this popular introduction to probability theory and information theory with new material on Markov chains. Num Pages: 250 pages, 65 b/w illus. 3 tables 240 exercises. BIC Classification: PBT. Category: (U) Tertiary Education (US: College). Dimension: 246 x 189 x 19. Weight in Grams: 730. . 2008. 2nd Edition. hardcover. . . . . Books ship from the US and Ireland.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 171,52
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 273 pages. 9.75x7.00x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2008
ISBN 10: 0521899044 ISBN 13: 9780521899048
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This updated textbook is an excellent way to introduce probability and information theory to new students in mathematics, computer science, engineering, statistics, economics, or business studies. Only requiring knowledge of basic calculus, it starts by building a clear and systematic foundation to the subject: the concept of probability is given particular attention via a simplified discussion of measures on Boolean algebras. The theoretical ideas are then applied to practical areas such as statistical inference, random walks, statistical mechanics and communications modelling. Topics covered include discrete and continuous random variables, entropy and mutual information, maximum entropy methods, the central limit theorem and the coding and transmission of information, and added for this new edition is material on Markov chains and their entropy. Lots of examples and exercises are included to illustrate how to use the theory in a wide range of applications, with detailed solutions to most exercises available online for instructors.